The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where David J. Lilja sits on this spectrum.
This scientist: 328 publications — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where David J. Lilja sits on this spectrum.
This scientist: 49 D-Index — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
David J. Lilja is affiliated with the University of Minnesota in the United States. Their research primarily focuses on computer science and engineering, with particular emphasis on hardware and architecture, electrical and electronic engineering, and artificial intelligence. The work spans various subfields including computer networks and communications as well as information systems.
The main topics addressed in their research include parallel computing and optimization techniques, radiation effects in electronics, advanced data storage technologies, caching and content delivery, cloud computing and resource management, embedded systems design techniques, and low-power high-performance VLSI design.
Among their recent publications are:
David J. Lilja has frequently collaborated with several researchers, including:
Their work has appeared in various publication venues such as ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Practice and Experience in Advanced Research Computing, and BenchCouncil Transactions on Benchmarks Standards and Evaluations.
David J. Lilja has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2007. They were also named an IEEE Fellow in 2006 for contributions to statistical methodologies for performance assessment of computing systems.
David J. Lilja
A.J. KleinOsowski;D.J. Lilja
Weikang Qian;Xin Li;M D Riedel;K Bazargan
Steven P. Vanderwiel;David J. Lilja
Biplob Debnath;Sudipta Sengupta;Jin Li;David J. Lilja
Peng Li;David J. Lilja;Weikang Qian;Kia Bazargan
Jenn-Yuan Tsai;Jian Huang;C. Amlo;D.J. Lilja
Peter Bailey;Joe Myre;Stuart D.C. Walsh;David J. Lilja
Peng Li;David J. Lilja
David J. Lilja
J.J. Yi;D.J. Lilja;D.M. Hawkins
K. Skadron;M. Martonosi;D.I. August;M.D. Hill
Jian Huang;D.J. Lilja
J.J. Yi;D.J. Lilja
AJ KleinOsowski;John Flynn;Nancy Meares;David J. Lilja
J.J. Yi;S.V. Kodakara;R. Sendag;D.J. Lilja
S.P. Vander Wiel;D.J. Lilja
Haowei Bai;M. Atiquzzaman;D. Lilja
D.J. Lilja
D. Abts;S. Scott;D.J. Lilja
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